vs
0:9
overall capability wins (0 ties across 9 scored). GLM-5.3 Flash leads overall.
- Reasoning0:5
- Coding0:1
- Arena0:1
- Pricing3:0
- Speed2:0
- Specs0:2
Verdict
GLM-5.3 Flash leads coding (widest gap: +17.9 on SciCode); GLM-5.3 Flash ranks higher on LMArena (+109 Elo); GLM-5.3 Flash offers ~5.0x larger context (1M vs 200K).
- GLM-5.3 Flash leads coding (widest gap: +17.9 on SciCode)
- GLM-5.3 Flash ranks higher on LMArena (+109 Elo)
- GLM-5.3 Flash offers ~5.0x larger context (1M vs 200K)
- GLM-5.3 Flash allows ~7.8x more max output (128K vs 16K)
- GLM-5.3 Flash ships open weights (MIT)
- GLM-4.7 Flash is ~1.6x cheaper on a blended token basis than GLM-5.3 Flash
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- GLM-4.7 Flash
- $0.16
- GLM-5.3 Flash
- $0.28
GLM-4.7 Flash is about 1.7x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Zhipu AI
Zhipu AI
Family
GLM
GLM
License
Proprietary
MIT
Open weights
No
Yes
Release
Dec 10, 2025
Aug 26, 2026
Knowledge cutoff
-
-
API / provider
Zhipu AI
Zhipu / Z.ai
Modalities
text, image → text
text, image, video → text
Specs
Context window
200K
1M
Max output
16K
128K
Parameters
—
320B (18B act.)
Pricing
Input $/1M
$0.06
$0.15
Output $/1M
$0.40
$0.50
Blended $/1M (3∶1)
$0.15
$0.24
Speed
tok/s
130
49.8
TTFT (s)
0.22
1.51
Reasoning
MMLU-Pro
—
—
GPQA Diamond
58.1
91.2
Humanity's Last Exam
7.6
39.9
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
16.2
27.5
AA-LCR v1.1
41.7
80.0
CritPt
0.3
15.4
MMMU-Pro
—
—
IFBench
60.8
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
84.3
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
33.7
51.6
CursorBench
—
—
SWE-Rebench
30.1
—
NL2Repo-Bench
—
—
DeepSWE
—
63.0
WebDev Arena
—
1,607
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,366
1,475
| Metric | GLM-4.7 Flash | GLM-5.3 Flash | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Zhipu AI | Zhipu AI | — |
| Family | GLM | GLM | — |
| License | Proprietary | MIT | — |
| Open weights | No | Yes | — |
| Release | Dec 10, 2025 | Aug 26, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Zhipu AI | Zhipu / Z.ai | — |
| Modalities | text, image → text | text, image, video → text | — |
| Specs | |||
| Context window | 200K | 1M | B +800K |
| Max output | 16K | 128K | B +112K |
| Parameters | — | 320B (18B act.) | — |
| Pricing | |||
| Input $/1M | $0.06 | $0.15 | A +$0.09 |
| Output $/1M | $0.40 | $0.50 | A +$0.10 |
| Blended $/1M (3∶1) | $0.15 | $0.24 | A +$0.09 |
| Speed | |||
| tok/s | 130 | 49.8 | A +80 |
| TTFT (s) | 0.22 | 1.51 | A +1.29 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 58.1 | 91.2 | B +33.1 pts |
| Humanity's Last Exam | 7.6 | 39.9 | B +32.3 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 16.2 | 27.5 | B +11.3 pts |
| AA-LCR v1.1 | 41.7 | 80.0 | B +38.3 pts |
| CritPt | 0.3 | 15.4 | B +15.1 pts |
| MMMU-Pro | — | — | — |
| IFBench | 60.8 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 84.3 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 33.7 | 51.6 | B +17.9 pts |
| CursorBench | — | — | — |
| SWE-Rebench | 30.1 | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | 63.0 | — |
| WebDev Arena | — | 1,607 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,366 | 1,475 | B +109 Elo |
GLM-4.7 Flash
- Context
- 200K / 16K out
- Parameters
- —
- Price
- $0.06 / $0.40
- Speed
- 130 tok/s · 0.22s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Fast low-cost GLM-4.7 API tier for Chinese/English high-volume chat and light agents.
GLM-5.3 Flash
- Context
- 1M / 128K out
- Parameters
- 320B (18B act.)
- Price
- $0.15 / $0.50
- Speed
- 49.8 tok/s · 1.51s TTFT
- Modalities
- text, image, video → text
- License
- MIT
First natively multimodal GLM-5 (text/image/video in), MIT open weights, 320B total / 18B active MoE with 1M context, released Aug 26, 2026. List pricing $0.15/$0.50 per 1M (cache-hit ~$0.03), halved by a launch promo through Sept 9, 2026. Benchmark figures are Z.ai's self-reported launch numbers (DeepSWE 63.4, AutomationBench 48.8, Terminal-Bench 2.1 84.3); Artificial Analysis places it at 57 on its Intelligence Index.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.